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Intelligent driving education method based on laser radar and end-to-end control algorithm

A technology of lidar and control algorithm, applied in neural learning methods, re-radiation of electromagnetic waves, instruments, etc., can solve the problems of complex cost of unmanned education system, achieve strong interpretability and acceptability, simple and efficient data , cost saving effect

Pending Publication Date: 2020-09-22
SOUTH CHINA UNIV OF TECH
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Problems solved by technology

[0005] Based on this, it is necessary to provide an intelligent driving education method based on lidar and end-to-end control algorithm in view of the complexity and high cost of the existing unmanned driving education system

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  • Intelligent driving education method based on laser radar and end-to-end control algorithm
  • Intelligent driving education method based on laser radar and end-to-end control algorithm
  • Intelligent driving education method based on laser radar and end-to-end control algorithm

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Embodiment Construction

[0029] This plan takes into account that the goal is to realize a set of unmanned driving technology education demonstration for K12 school level. At the level of technical education, on the one hand, artificial intelligence must be realized, and on the other hand, the process of realization and the explanatory nature of the principles must be understood and accepted by the target academic level as much as possible; starting from reality, as a set of educational display, cost-effectiveness must be considered, that is, whether Suitable for the development and coverage of educational courses. Starting from these two points, first determine the experimental object as a miniature smart car, that is, the unmanned educational car in the final display. Compared with the miniature smart car, the real car unmanned driving experiment has more sensors, sophisticated research and development platform, and complex system. It has obvious advantages in terms of scientific research and social...

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Abstract

The invention relates to an intelligent driving education method based on a laser radar and an end-to-end control algorithm, and the method comprises the steps: S1, controlling a miniature intelligentvehicle to drive on a sand table runway through a control terminal, starting the laser radar to scan a sand table runway environment where the miniature intelligent vehicle is located, and obtainingthe operation instruction data of the control terminal and radar point cloud data; S2, according to the timestamps of the control terminal operation instruction data and the radar point cloud data, using MATLAB for data processing, obtaining mapping of keyboard instruction data and point cloud data corresponding to the timestamps, and the keyboard instruction data and the point cloud data servingas training data; S3, inputting the training data into a pre-constructed end-to-end control neural network model for training to obtain an end-to-end control model. According to the invention, an end-to-end control method is adopted to simplify deep learning knowledge, and intelligent driving on the sand table is realized through a simple laser radar and a miniature intelligent vehicle with high cost performance.

Description

technical field [0001] The present invention relates to the technical field of intelligent driving education, in particular to an intelligent driving education method based on laser radar and end-to-end control algorithm, which can demonstrate the basic principles of intelligent driving to students of all ages in a simple and cost-effective manner. Principle, to achieve the purpose of intelligent driving education. Background technique [0002] The integration of artificial intelligence technology and school education has become a future trend and an important driving force for the development of education. "Intelligent education" was written into the "New Generation Artificial Intelligence Development Plan" promulgated in 2017 as a key task, and became an important part of the national strategy for artificial intelligence. But in fact, there are many problems faced by intelligent education, the most important two of which are: how can the talent pool keep up with the needs...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S17/931G06F30/27G06N3/08
CPCG01S17/931G06F30/27G06N3/08
Inventor 杨志坚丁立
Owner SOUTH CHINA UNIV OF TECH
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